Data Engineer - ETL & Analytics (Remote)

AgileEngine, LLC.; Rosario; Presencial; ARS 1.800.000 - 3.200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

Remote-friendly with flexible hours

Meaningful, modern projects

Collaborative culture

Well-being programs

Descripción de la vacante

AgileEngine, LLC. is seeking a Data Engineer to own ETL pipelines powering analytics for colleges and universities.

You will design and maintain data workflows using SQL, Python, and Apache Airflow, moving data from source systems into a cloud data warehouse, and adapt shared pipelines for individual clients while keeping code clean. You will design and optimize data models, monitor production pipelines, and collaborate with client teams and stakeholders to deliver scalable solutions using

Formación

• 3–4 years of experience in data engineering or a closely related software engineering role.
• Strong SQL, including complex joins, window functions, and dimensional/star-schema modeling.
• Hands-on Apache Airflow experience (DAGs, operators, scheduling, troubleshooting).
• Working knowledge of ETL patterns and cloud data warehouse design (Amazon Redshift or similar).
• Git and GitLab (or GitHub/Bitbucket) for day-to-day version control.
• Docker / Docker Compose.
• Understanding of data management concepts.
• Ability to translate client and business requirements into SQL, configuration, and DAG changes.

Responsabilidades

• Design, build, and maintain ETL pipelines and data workflows across development, staging, and production environments.
• Extend data models and datasets to support analytical and reporting needs.
• Customize shared data pipelines for individual clients while keeping code clean and reusable.
• Monitor and support production data pipelines; investigate failures and deliver fixes.
• Write and maintain database DDL, data validation queries, and deployment scripts.
• Contribute to platform modernization, including infra upgrades and new data tech adoption.
• Collaborate with client teams, analysts, and stakeholders to gather requirements and deliver solutions.

Conocimientos

SQL proficiency

Data engineering

Client requirements translation

ETL patterns

Cloud data warehouse design

Git and GitLab

Docker

Data management concepts

DAG changes

Herramientas

Apache Airflow

Amazon Redshift

Snowflake

BigQuery

Synapse

GitHub/Bitbucket

Descripción del empleo

AgileEngine, LLC. is seeking a Data Engineer to own ETL pipelines powering analytics for colleges and universities.

You will design and maintain data workflows using SQL, Python, and Apache Airflow, moving data from source systems into a cloud data warehouse, and adapt shared pipelines for individual clients while keeping code clean. You will design and optimize data models, monitor production pipelines, and collaborate with client teams and stakeholders to deliver scalable solutions using